modeling and prioritizing demand response programs in power markets

one of the responsibilities of power market regulator is setting rules for selecting and prioritizing demand response (dr) programs. there are many different alternatives of dr programs for improving load profile characteristics and achieving customers’ satisfaction. regulator should find the optimal solution which reflects the perspectives of each dr stakeholder. multi attribute decision making (madm) is a proper method for handling such optimization problems. in this paper, an extended responsive load economic model is developed. the model is based on price elasticity and customer benefit function. prioritizing of dr programs can be realized by means of technique for order preference by similarity to ideal solution (topsis) method. considerations of iso/utility/customer regarding the weighting of attributes are encountered by entropy method. an analytical hierarchy process (ahp) is used for selecting the most effective dr program. numerical studies are conducted on the load curve of the iranian power grid in 2007.